aljaz/DALLE2-pytorch
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relax learning rate constraint, as @rom1504 wants to try a higher one

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Phil Wang
2022-07-06 18:09:11 -07:00
parent e928ae5c34
commit a6cdbe0b9c
2 changed files with 2 additions and 2 deletions
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2
dalle2_pytorch/trainer.py
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@@ -473,7 +473,7 @@ class DecoderTrainer(nn.Module):
lr, wd, eps, warmup_steps = map(partial(cast_tuple, length = self.num_unets), (lr, wd, eps, warmup_steps))
assert all([unet_lr < 1e-3 for unet_lr in lr]), 'your learning rate is too high, recommend sticking with 1e-4, at most 5e-4'
assert all([unet_lr <= 1e-2 for unet_lr in lr]), 'your learning rate is too high, recommend sticking with 1e-4, at most 5e-4'
optimizers = []
schedulers = []

2
dalle2_pytorch/version.py
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@@ -1 +1 @@
__version__ = '0.16.12'
__version__ = '0.16.13'